Spectrum Brands Holdings (SPB) Non Operating Interest Expenses (2010 - 2026)
Spectrum Brands Holdings (SPB) reported Non Operating Interest Expenses of $8.2 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 2.4% from $8.4 million a year earlier but up 12.3% from the prior quarter.
Spectrum Brands Holdings (SPB) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Spectrum Brands Holdings' Non Operating Interest Expenses came in at $30.2 million, up 4.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $30 million, down 48.7% from FY2024.
- Non Operating Interest Expenses has a three-year compound annual growth rate of -32.9% (FY2022 to FY2025).
- By fiscal year, Non Operating Interest Expenses came in at $58.5 million in FY2024 (-49.6%), $116.1 million in FY2023 (+16.8%) and $99.4 million in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of $6.2 million in fiscal Q1 2025 and a high of $30.3 million in fiscal Q3 2023.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with an average decline of 26.9%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q4 2025 (growth of 17.9%); the low point was fiscal Q4 2024 (a decline of 67.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.3 million (Q2 2026), $6.8 million (Q1 2026) and $7.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Spectrum Brands Holdings | 1.83 Bn | 1.26 Bn | 370.40 Mn | 8.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.20 Mn |
| Mar 29, 2026 | 7.30 Mn |
| Dec 28, 2025 | 6.80 Mn |
| Sep 30, 2025 | 7.90 Mn |
| Jun 29, 2025 | 8.40 Mn |
| Mar 30, 2025 | 7.50 Mn |
| Dec 29, 2024 | 6.20 Mn |
| Sep 30, 2024 | 6.70 Mn |
| Jun 30, 2024 | 15.70 Mn |
| Mar 31, 2024 | 16.90 Mn |
| Dec 31, 2023 | 19.20 Mn |
| Sep 30, 2023 | 20.80 Mn |
| Jul 2, 2023 | 30.30 Mn |
| Mar 31, 2018 | 67.60 Mn |
| Dec 31, 2017 | 75.50 Mn |
| Sep 30, 2017 | 90.50 Mn |
| Jun 30, 2017 | 89.30 Mn |
| Mar 31, 2017 | 77.70 Mn |
| Dec 31, 2016 | 78.70 Mn |
| Sep 30, 2016 | 112.70 Mn |
Spectrum Brands Holdings Non Operating Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=SPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SPB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=SPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();